AI SRE

Bringing together agentic and embedded AI across Splunk Observability Cloud, the AI SRE is an agentic AI experience spanning the entire incident response lifecycle including detection, troubleshooting, and remediation. This is an AI-native user experience including the AI Assistant in Observability Cloud and Splunk MCP Server that delivers in-context insights and frees teams to focus on what matters most and building what’s next, rather than manual troubleshooting.

Troubleshooting issues has always been a game of hide-and-seek for engineering teams, especially when it comes to modern applications running on complex environments like Kubernetes. Traditionally, DevOps and site reliability engineers (SREs) have had to hunt through dashboards, logs, and metrics across multiple screens and tools to pinpoint the cause of an outage, or performance problem. This is where the AI SRE can help.

The AI SRE acts like a site reliability engineering (SRE) teammate by automatically sifting through all metrics, log, and trace data, identifying whether your application or infrastructure is at fault, and surfacing the most likely root causes — all in plain language, within your existing workflow. Rather than context switching across multiple screens, tabs, and tools and manually reviewing tons of documentation, teams get a ranked list of probable causes, clear impact analysis, and actionable recommendations, right when and where they need it.

The real value for engineering teams comes from the way the AI troubleshooting agent turns hours of manual investigation into just minutes of insight. When teams view an alert, the agent analyzes everything from recent deployments to Kubernetes events and historical incidents, even highlighting patterns from previous fixes. It doesn’t just stop with symptoms; it provides a concise root cause analysis (RCA) summary so teams can act confidently and quickly, reducing downtime and keeping services running smoothly. With Observability Cloud’s AI at your side, your team spends less time firefighting and more time building what matters.

After reviewing the suspected root causes and evidence provided by the troubleshooting agent, teams will be able to leverage the AI remediation plan in Splunk Observability Cloud. The AI remediation plan generates guided steps to implement a long-term resolution to help reduce or eliminate these issues going forward. Teams can complete or undo steps as needed throughout the remediation flow and receive a summary of associated actions. Once complete, teams can mark the alert as resolved and provide feedback if the outcome doesn’t meet their expectations.

The top benefits of the AI SRE are helping teams reduce the manual toil currently needed to find and fix issues before customers are impacted, which helps teams drastically reduce mean time to resolution (MTTR) so they can focus on what matters most and build what’s next.